unlazy
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and
Use AI agents to ensure tasks are completed thoroughly and prove their progress against a checklist (Claude Code required)
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Free · no card · unsubscribe anytimeAnti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and
unlazy has 2.8k stars on GitHub. It has been forked 166 times. unlazy is written mainly in JavaScript. It has been in active development since 2026. unlazy is available under the MIT license. Its main topics are ai-agents, claude, claude-code, llm.
What is unlazy?
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and
Is unlazy open source?
unlazy is an open-source project. It is released under the MIT license.
Is unlazy free?
Yes. unlazy is free and open source — you can use, modify and self-host it.
What license does unlazy use?
unlazy is available under the MIT license.
What language is unlazy written in?
unlazy is written mainly in JavaScript.
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